Evidence map›Paper›PMID 30845902›Full record

ArticleGlobal health action2018

Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study.

Michèle Ramsay, Nigel J Crowther, Godfred Agongo, Stuart A Ali, Gershim Asiki, Romuald P Boua, F Xavier Gómez-Olivé, Kathleen Kahn, Christopher Khayeka-Wandabwa, Felistas Mashinya and 16 more

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 7 institutions in 5 countries.

Michèle Ramsaya Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4156-4801
Nigel J Crowtherc Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-5766-1745
Godfred Agongoa Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4218-5424
Stuart A Alia Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4124-2896
Gershim Asikie African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-9966-1153
Romuald P Bouaa Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-8325-2665
F Xavier Gómez-Olivég MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4876-0848
Kathleen Kahng MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-3339-3931
Christopher Khayeka-Wandabwae African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-9891-6046
Felistas Mashinyaj Department of Pathology and Medical Science, School of Health Care Sciences, Faculty of Health Sciences , University of Limpopo , Polokwane , South Africa.ORCID 0000-0002-4132-7558
Lisa Micklesfieldk MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4994-0779
Freedom Mukomanaa Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-0230-1379
Engelbert A Nonterahd Navrongo Health Research Centre , Navrongo , Ghana.ORCID 0000-0001-8491-6478
Cassandra Sooa Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-7043-8065
Hermann Sorghof Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante , Nanoro , Burkina Faso.ORCID 0000-0003-1595-5152
Alisha N Wadeg MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-1158-2523
Ryan G Wagnerg MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-2741-3676
Marianne Albertsj Department of Pathology and Medical Science, School of Health Care Sciences, Faculty of Health Sciences , University of Limpopo , Polokwane , South Africa.
Scott Hazelhursta Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-0581-149X
Catherine Kyobutungie African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-5344-5631
Shane A Norrisk MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-7124-3788
Abraham R Odurod Navrongo Health Research Centre , Navrongo , Ghana.
Osman Sankohh School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-4405-9808
Halidou Tintof Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante , Nanoro , Burkina Faso.ORCID 0000-0003-4653-7041
Stephen Tollmang MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-7997-2616
as members of AWI-Gen and the H3Africa Consortium
University of the Witwatersrand · ZANational Health Laboratory Service · ZAAfrican Population and Health Research Center · KEInstitut de Recherche en Sciences de la Santé · BFNavrongo Health Research Centre · GHUniversity of Limpopo · ZAUniversity of Sierra Leone · SL

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Julia Katherine Rohr · 2013 to 2026
$37.3M
Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938NIA NIH HHS P01 AG041710Wellcome TrustWellcome Trust 058893/A/99AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/Z08/Z
6 · The paper itself

Abstract

backgroundAfrican populations are characterised by diversity at many levels including: demographic history, genetic ancestry, language, wealth, socio-political landscape, culture and behaviour. Several of these have a profound impact on body fat mass. Obesity, a key risk factor for cardiovascular and metabolic diseases, in the wake of the epidemiological and health transitions across the continent, requires detailed analysis together with other major risk factors.

objectiveTo compare regional and sex-specific body mass index (BMI) distributions, using a cross-sectional study design, in adults aged 40-60 years across six study sites in four sub-Saharan African (SSA) countries and to compare the determinants of BMI at each.

methodsAnthropometric measurements were standardised across sites and BMI calculated. Median BMI and prevalence of underweight, lean, overweight and obesity were compared between the sexes and across sites. Data from multivariable linear regression models for the principal determinants of BMI were summarised from the site-specific studies.

resultsBMI was calculated in 10,702 participants (55% female) and was significantly higher in women than men at nearly all sites. The highest prevalence of obesity was observed at the three South African sites (42.3-66.6% in women and 2.81-17.5% in men) and the lowest in West Africa (1.25-4.22% in women and 1.19-2.20% in men). Across sites, higher socio-economic status and educational level were associated with higher BMI. Being married and increased dietary intake were associated with higher BMI in some communities, whilst smoking and alcohol intake were associated with lower BMI, as was HIV infection in the regions where it was prevalent.

conclusionIn SSA there is a marked variation in the prevalence of obesity both regionally and between men and women. Our data suggest that the drive for social upliftment within Africa will be associated with rising levels of obesity, which will require the initiation of targeted sex-specific intervention programmes across specific African communities.

Indexed as

Body Mass IndexGeographySex DistributionSocial ClassAdolescentAdultAfrica South of the SaharaAgedBlack PeopleCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityOverweightBMICMDobesityregional variationsex-specific variationSSA

Identifiers

PMID30845902
PMCPMC6407581
OpenAlexW2909041796

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.